Cargando…
An Item Response Theory–Informed Strategy to Model Total Score Data from Composite Scales
Composite scale data is widely used in many therapeutic areas and consists of several categorical questions/items that are usually summarized into a total score (TS). Such data is discrete and bounded by nature. The gold standard to analyse composite scale data is item response theory (IRT) models....
Autores principales: | Wellhagen, Gustaf J., Ueckert, Sebastian, Kjellsson, Maria C., Karlsson, Mats O. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7966126/ https://www.ncbi.nlm.nih.gov/pubmed/33728519 http://dx.doi.org/10.1208/s12248-021-00555-3 |
Ejemplares similares
-
Comparison of Precision and Accuracy of Five Methods to Analyse Total Score Data
por: Wellhagen, Gustaf J., et al.
Publicado: (2020) -
A Bounded Integer Model for Rating and Composite Scale Data
por: Wellhagen, Gustaf J., et al.
Publicado: (2019) -
Modeling Composite Assessment Data Using Item Response Theory
por: Ueckert, Sebastian
Publicado: (2018) -
Comparison of Power, Prognosis, and Extrapolation Properties of Four Population Pharmacodynamic Models of HbA1c for Type 2 Diabetes
por: Wellhagen, Gustaf J., et al.
Publicado: (2018) -
Performance of longitudinal item response theory models in shortened or partial assessments
por: Arrington, Leticia, et al.
Publicado: (2020)